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Senior Staff Research Data Scientist, AI Data Research

Google Mountain View, California, United States · $262K–$364K/yr

Software Development · 10,001+ employees

4 h ago
data-scientist Principal (10+ yrs) Full-time United States
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About the role

You will work with complex data sets to solve ambitious problems and define key metrics to measure success. Additionally, you will collaborate cross-functionally with product and model teams to influence strategy and improve model performance.

What they look for

Python R SQL Data Science Machine Learning Deep Learning Reinforcement Learning Infrastructure Systems Statistical Analysis Data Acquisition Product Strategy Stakeholder Management Quantitative Analysis Model Performance Optimization

Requirements

Candidates must have a Master's degree in a quantitative field and at least 10 years of relevant work experience. Deep expertise in machine learning and proficiency in programming languages like Python, R, or SQL are required.

Benefits

Bonus Equity Health Insurance

Full description

Minimum qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
  • 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

Preferred qualifications:

  • 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
  • Experience in Deep Learning, Infrastructure Systems, or Reinforcement Learning.

About the job:

Imagine being at the core of the AI revolution, where your expertise directly fuels the most advanced Large Language Models. We are the driving team behind high-quality data – the essential ingredient for unlocking unprecedented AI breakthroughs. Partner with resourceful minds, define data excellence, and make an impact on the future of intelligent systems.

As a Senior Staff Research Data Scientist, you will be a key driver of innovation. This role demands deep expertise in machine learning and a strong foundation in core data science methodologies. You'll be instrumental in conceiving and deploying solutions, directly contributing to the advancements of AI.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities:

  • Work with data sets and solve complex and ambitious data science problems.
  • Share/present to executive stakeholders and executives, effectively defend your work, and influence strategy and product direction.
  • Interact cross-functionally with a wide range of product and model teams. Work closely with Product Management and engineering to identify opportunities.
  • Define key metrics to measure success in various shapes and forms.
  • Develop new methodologies to improve the performance of Google's models through better training data, including data acquisition, and insights.

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